| Bioinformatics Toolbox | |
The mas spectrometry functions are designed for preprocessing and classification of raw data from SELDI-TOF and MALDI-TOF spectrometers.
Reading raw data into MATLAB — Load raw mass/charge and ion intensity data from comma-separated-value (CSV) files, or read a JCAMP-DX formatted file with mass spectrometry data (jacampread) into MATLAB.
You can also have data in TXT files an use the function importdata.
Preprocessing raw data — Resample high-resolution data to a lower resolution (msresample) where the extra data points are not needed. Correct the baseline (msbackadj). Align a spectrum to a set of reference masses (msalign) and visually verify the alignment (msheatmap). Normalize the area between spectra for comparing (msnorm), and filter out noise (mslowess, mssgolay).
Spectrum analysis — Load spectra into a GUI (msviewer) for selecting mass peaks and further analysis.
| | Microarray Data Analysis | Graph Visualization Methods | |
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